Fine–Tuning LLMs for Cybersecurity Mistral, Llama, AutoTrain, and AutoGen
Free Download Fine–Tuning LLMs for Cybersecurity Mistral, Llama, AutoTrain, and AutoGen
Released 10/2024
With Akhil Sharma
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Skill level: Advanced | Genre: eLearning | Language: English + subtitle | Duration: 2h 52m 10s | Size: 488 MB
Explore the intersection of cybersecurity and large language models (LLMs). Learn how to leverage LLMs for open-source intelligence (OSINT), vulnerability scanning, and more.
Course details
Explore the emergent field of cybersecurity enhanced by large language models (LLMs) in this detailed and interactive course. Instructor Akhil Sharma starts with the basics, including the world of open-source LLMs, their architecture and importance, and how they differ from closed-source models. Learn how to run and fine-tune models to tackle cybersecurity challenges more effectively. Gather insights for identifying new threats, generating synthetic data, performing open-source intelligence (OSINT), and scanning code vulnerabilities with hands-on examples and guided challenges. Perfect for cybersecurity professionals, IT specialists, and anyone keen on understanding how AI can bolster security protocols, this course prepares you to embrace the synergy of AI for cybersecurity, unlocking new potentials in threat detection, prevention, and response.
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